| 书目名称 | Versatile Video Coding (VVC) |
| 副标题 | Machine Learning and |
| 编辑 | Mário Saldanha,Gustavo Sanchez,Luciano Agostini |
| 视频video | http://file.papertrans.cn/983/982078/982078.mp4 |
| 概述 | Describes new encoding tools used in Versatile Video Coding (VVC) intra-frame prediction.Presents a detailed statistical analysis of the encoding effort in VVC intra-frame prediction.Includes a set of |
| 丛书名称 | Synthesis Lectures on Engineering, Science, and Technology |
| 图书封面 |  |
| 描述 | This book discusses the Versatile Video Coding (VVC), the ISO and ITU state-of-the-art video coding standard. VVC reaches a compression efficiency significantly higher than its predecessor standard (HEVC) and it has a high versatility for efficient use in a broad range of applications and different types of video content, including Ultra-High Definition (UHD), High-Dynamic Range (HDR), screen content, 360º videos, and resolution adaptivity. The authors introduce the novel VVC tools for block partitioning, intra-frame and inter-frames predictions, transforms, quantization, entropy coding, and in-loop filtering. The authors also present some solutions exploring VVC encoding behavior at different levels to accelerate the intra-frame prediction, applying statistical-based heuristics and machine learning (ML) techniques. |
| 出版日期 | Book 2022 |
| 关键词 | High Efficiency Video Coding; HEVC; Digital Video Coding for Next Generation Multimedia; Complexity-Awa |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-11640-7 |
| isbn_softcover | 978-3-031-11642-1 |
| isbn_ebook | 978-3-031-11640-7Series ISSN 2690-0300 Series E-ISSN 2690-0327 |
| issn_series | 2690-0300 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
|Archiver|手机版|小黑屋|
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